Masters Program

Master of Science in Industrial Engineering

The Department awards the degree of "Master of Science in Industrial Engineering" to eligible students who complete 24 credits in coursework and successfully defend a thesis.

Students with B.S. or B.A. degrees in Industrial Engineering or a related field can apply to the M.S. program. They are required to have at least 2.50/4.00 grade point average and to be in the top 10% or higher percentile in the Academic Staff and Graduate Education Test (ALES), or Graduate Record Examination (GRE). Applicants who pass the English proficiency test administered by Boğaziçi University, or TOEFL, or IELTS start the graduate program. Also a limited number of the students, who cannot prove English proficiency, are accepted to the English preparation class.

Rules and regulations for the M.S. program have recently changed. We will provide more information once the Senate approves new regulations.

Degree Requirements

The Master of Science program in Industrial Engineering comprises a minimum of 24 credits of course work and a thesis. The students with IE background are expected to complete the course work in two semesters, whereas the students with a non-IE background are allowed to extend their course work to three semesters since they are required to take remedial courses . The student has a maximum of 4 semesters to complete the coursework with a grade point average of 3.00, and a maximum of 6 semesters to complete the M.S. program.

All students are required to take:

IE 501 Optimization Techniques 1

IE 578 Graduate Seminar I

IE 505 Stochastic Processes and Applications

IE 508 Statistical Inference

IE 579 Graduate Seminar II

Students with non-IE backgrounds should first complete the basic industrial engineering courses that are recommended by their advisors in their first term. This remedial term may consist of the courses such as, Operations Research, Engineering Economics, Systems Simulation, Probability for Industrial Engineers, Statistics for Industrial Engineers, Supply Chain Management, and Facilities Design & Planning.

Students choose the elective courses in accordance with their research interests. The specific interest areas in the graduate program include Operations Research, Manufacturing/Production, Systems Modeling, and Financial Engineering. When a student has completed the coursework, the thesis advisor supervises the student in writing an M.S. thesis.

:: Foundation Courses

IE 502 Optimization Techniques II

IE 506 Statistical Data Analysis

IE 510 Simulation Modeling

IE 514 Nonlinear Programming

IE 515 Graphs and Network Flows

IE 516 Combinatorial Optimization

IE 517 Heuristic Methods in Optimization

IE 530 Mathematical Modeling

IE 544 Decision Analysis

IE 550 Dynamics of Socio-Economic Systems

IE 565 Work Performance Engineering

IE 605 Advanced Stochastic Processes

IE 608 Mathematical Statistics

IE 611 Integer Programming

IE 612 Dynamic Programming

IE 613 Large Scale Programming

IE 625 Queuing Theory

IE 642 Markovian Decision Processes

:: Manufacturing/Production

IE 520 Quality Management

IE 523Design of Production Systems

IE 524 Planning of Production Systems

IE 542 Manufacturing Information Systems

IE 546 Competitive Models in Supply Chain Management

IE 54X Manufacturing Systems Engineering

IE 565 Work Performance Engineering

IE 597 Sp. Topics in Industrial Ergonomics

IE 621 Inventory Control Theory

IE 622 Reliability Theory & Applications

IE 624 Scheduling and Sequencing

IE 628 Advanced Production Systems

:: Systems Modeling and Analysis

IE 510 Simulation Modeling

IE 530 Mathematical Modeling

IE 533 Systems Theory

IE 544 Decision Analysis

IE 550 Dynamics of Socio-Economic Systems

IE 565 Work Performance Engineering

IE 597 Sp. Topics in Industrial Ergonomics

IE 602 Dynamic Systems Modelling and Analysis

IE 621 Inventory Control Theory

:: Financial Engineering

AD 516 Derivative Securities and Markets

AD 517 Investment Analysis and Portfolio Management

AD 570 Topics in Financial Management and Accounting

IE 510 Simulation Modeling

IE 534 Stochastic Models in Finance

IE 536 Computational Methods in Finance

IE 586 Quantitative Finance

IE 590 Econometric Modeling of Financial Time Series

IE 591 Introduction to Financial Engineering

IE 593 Cases in Financial Engineering

:: Non-thesis Graduate Programs

The Department supports the following non-thesis inter-disciplinary graduate programs.